Modlisation lIngnierie Systme Base sur les Modles : conception dune - - PowerPoint PPT Presentation

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Modlisation lIngnierie Systme Base sur les Modles : conception dune - - PowerPoint PPT Presentation

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Apport de lIngnierie des Langages de Modlisation lIngnierie Systme Base sur les Modles : conception dune mthode outille pour la gnration de Langages Mtier interoprables, analysables et prouvables Blazo Nastov

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Institut Mines-Télécom

Apport de l’Ingénierie des Langages de Modélisation à l’Ingénierie Système Basée sur les Modèles : conception d’une méthode

  • utillée pour la génération de Langages

Métier interopérables, analysables et prouvables Blazo Nastov

LGI2P - Ecole des Mines d’Alès LIRMM - Université Montpellier 2 Blazo.Nastov@mines-ales.fr Journée des doctorant, Nîmes, France 19 June 2014

Laboratoire de Génie Informatique et d’Ingénierie de Production

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Plan

 Context  Creating DSMLs  Model simulation & Property proof  Limitations of existing works  Conclusion and Perspectives

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Journée des doctorants - Nimes 2014 2

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Systems Engineering

 Approach for designing complex systems  Involves to create, manipulate and analyze models  A model = an aspect of a system under study  Engineers take and argue architectural decisions based on models  Decisions have impact on the system functioning, safety, cost…  Engineers must have confidence in created models  Confidence in a model if one is 1) Well formed and 2)The right model  Model verification improves confidence in models

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Journée des doctorants - Nimes 2014 3

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How to creating a DSML

Language description

 Abstract syntax: metamodel

  • Language concepts
  • Relationships between concepts

 Concrete syntax

  • Textual
  • Graphical

Semantics description

 An abstract syntax reveal a partial description of the language’s semantics  Such semantics may sometimes be ambiguous: Different specialists may have different understanding of a single model  Types of semantics

  • Denotational - a set of mathematical objects

(denotations) which represents the meaning

  • f the model
  • Operational - how a model is interpreted as

a sequence of computational steps

  • Translational - translating a model into

another language that is well understood

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Define abstract syntax Define concrete syntax

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Model simulation & Property proof

 Case 1: Manipulate 3th party “equivalent” models

  • Provide translational semantics

 Case 2: Directly manipulate created models

  • Provide operational semantics

 State of the art:

  • A Design Pattern to Build

Executable DSMLs and Associated V&V Tools (Combemale 2012)

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DSML

Operational Semantics

Model

create by

Simulate

based on

DSML

Translational Semantics

Target DSML

based on based on

Model Model

Simulate

created by created by translate into

Operational Semantics

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Studied approach: concept

 A metamodel including multiple metamodels

  • DDMM - Domain Definition Meta Model
  • SDMM - State Definition Meta Model
  • EDMM - Event Definition Meta Model
  • TM3 - Trace Management Meta Model

 Semantics description

  • A Property-Driven Approach for Formal Verification
  • f process Models (Combemale 2008)

 Limitations

  • State notion
  • Event-State-Property notion
  • Temporal dimension

─ Stable state

  • Property description
  • Language interoperability

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MetaModel (M2) MetaMetaModel (M3)

Action Language or Model Transformation Metamodeling Language (e.g. MOF)

SDMM

States Definition MetaModel

EDMM

Events Definition MetaModel

DDMM

Domain Definition MetaModel

TM3

Trace management MetaModel

Semantics

Semantics Mapping <<conforms to>> <<conforms to>> <<merge>> <<merge>> <<trigerredBy>> <<import>> <<changes>> <<merge>>

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Limitations of studied approach (1)

 Principle

  • The behavior of a concept = state model
  • The evolution of a concept = state change

 Example of a SDMM  Example of EDMM

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1) State notion and formalization

 Limitation: concepts having large, possibly unlimited, number of states  Example:  Observation: the resource “oil” should be in a state of min 5L  Proposal: SDMM extension

  • Define a finite number of ‘descriptive’

states (e.g. sufficient or insufficient)

  • Quality and Quantity state variables
  • Mixed

F1 Oil

<<Function>> <<Resource>>

5L

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Limitations of studied approach (2)

 Principle

  • Define states in a SDMM
  • Define events in a EDMM
  • Define evolution properties

 Example (see SDMM and EDMM)  Limitation: difficult to read and understand  Proposal: use state machines to abstract SDMM and EDMM in order to improve readability and understandability  Proposal: define transition firing, including an explicit conditional part clearly identified and separated from the SDMM and EDMM  Example

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2) Towards condition and event based transition approach

Authorised Execution Cond1  ExecuteFunction

{(f.state==authorised) AND (  i  f.itemInputs,(i.state==present)) AND (  j  f. resourceFlowInputs, ( (j.requestedQuantity >= j.sourceResource.availableQuantity) AND (j.requestedQuality == j.sourceResource.quality))))}

Cond1:

For f  Function { (f.state==authorised) AND (  i  f.itemInputs,(i.state==present)) AND (  j  f. resourceFlowInputs,((j.requestedQuantity >= j.sourceResource.availableQuantity) AND (j.requestedQuality == j.sourceResource.quality)))) implies executeFunction(f) }

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 Principle

  • Temporal properties are defined using TOCL
  • Only one clock is considered

 Limitation: model stability is out of reach

  • A model is in a “stable state” if it cannot

evolve into another state, taking into account the inputs defined into an operational scenario

  • A “transient state” of a concept is a state such

that it is possible to change that state without modifying the inputs

 Example  Proposal: consider model stability  Introduce two types of clocks

  • External: bound to the environment
  • Internal: bound to the concept evolution

 Introduce evolution algorithm

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3) Towards model transient states detection and management

Limitations of studied approach (3)

A0

A1 A2 a0 a1 a2 a3 B0 B1 b0 b1

Firing conditions

  • b0 = A1
  • a1 = B1

Scenario = (a0,T0, A0, B0) T0 T1 T2 a0 b0 a1 A0A1 B0B1 A1A2

A0

B0 A1

Result= (T1, A2, B1)

t0 t1 t2 Internal clock RI CFS Initialize external clock Te Increment external clock Initialize internal clock Ti WO Stability is reached? External clock RI – read input CFS – calculate future state WO – write output

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 Principle

  • A property should be verified at each

execution (universal property), or at least once (existential property)

 Type of properties

  • Structural properties
  • Temporal properties
  • Quantitative properties

 Limitation: considered approach is less advanced and profound compared to other property-driven approaches  Proposal: study existing approached and extend then formalize the considered pattern

 Limitation: model interoperability is

  • ut of reach of considered pattern

 Proposal: extend the pattern in order to handle model interoperability

  • Model interoperability = Dynamic

semantics interoperability

  • Extend SDMM & EDMM

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Limitations of studied approach (4)

4) Towards properties modeling language and checking techniques 5) Towards modeling languages and models interoperability

Ecore DSML DSML Model Model Define interoperability rules Interactions

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Studied approach: tools

 Kermeta - executable metamodeling language

  • Define operational semantics trough aspect programming

in imperative way

 ATL - Atlas Transformation Langage

  • Define operational semantics through endogenous

transformations in declarative way

  • Define translational semantics through exogenous

transformations in declarative way

 Main limitation and locks

  • Programming related
  • SE experts are not necessarily experts in programming

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Synthesis

 Systems engineering  Model confidence & verification techniques  A complete language description is composed of

  • An abstract syntax
  • A concrete syntax
  • A semantics description

 Simulation and property proof  A Design Pattern to Build Executable DSMLs  Limitations and Proposals

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Publications

 B. Nastov, F. Pfister, Experimentation of a Graphical Concrete Syntax Generator for Domain Specific Modeling Languages. INFORSID 2014 (Selected for a special number of the review ISI)  B. Nastov,Contribution to model verification:

  • perational semantic for System Engineering

modeling languages. CIEL 2014  B. Nastov, V. Chapurlat, C. Dony and F. Pfister. A verification approach from MDE applied to Model Based System Engineering: xeFFBD dynamic

  • semantic. CSD&M 2014

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